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<b>The First Workshop on Natural Language Processing and Language Models for Digital Humanities (LM4DH 2025)</b></div>
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</b></span></p>
<p class="elementToProof" style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Date</b>: To be confirmed, between 11 and 13 September 2025 (one full day)</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Venue</b>: Varna, Bulgaria<br>
<b>Submissions Portal</b>: </span><span style="font-family: Arial, sans-serif; color: rgb(0, 136, 204);"><u><a href="https://softconf.com/ranlp25/LM4DH2025/" id="OWA2f2a0091-4498-4065-0670-175ea0d1f4ef" class="OWAAutoLink" originalsrc="https://softconf.com/ranlp25/LM4DH2025/" data-auth="NotApplicable" style="color: rgb(0, 136, 204); margin-top: 0px; margin-bottom: 0px;">The
2025 International Conference on Recent Advances in Natural Language Processing</a></u></span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Workshop Description</b></span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">Digital Humanities has emerged as an interdisciplinary field of research, serving as an intersections of computer science with many other
fields such as linguistics, social sciences, history, psychology, etc. With the development of Large Language Models (LLMs), state-of-the-art Natural Language Processing () tasks such as entity recognition, sentiment analysis, and text summarisation have been
significantly enhanced, offering powerful tools to analyse and interpret complex historical and cultural data. These developments offer transformative capabilities for analysing and interpreting complex historical and cultural datasets, including oral histories,
archival documents, and literary texts. These advancements provide powerful tools for analysing and interpreting intricate historical, cultural, and social data, enabling researchers to identify patterns, extract meaningful relationships, and generate interpretations
at unprecedented scale and precision.</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">These technological advancements are fundamentally changing the ways in which researchers engage with a variety of materials, including
oral history, archival materials, and literary texts. By enabling the extraction of patterns, grouping of relationships, and generation of nuanced interpretations at scale, LLMs and related technologies provide researchers power in domains where qualitative
understanding has long dominated.</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">This workshop aims to create a collaborative platform for researchers, practitioners, and students from a variety of fields to explore
the application of AI-driven techniques in the Digital Humanities. Through interdisciplinary dialogue and knowledge exchange, the event seeks to foster innovative methodologies, promote best practices, and cultivate a research community dedicated to advancing
computational approaches to human culture, memory, and history.</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">The topics of the workshop include, but are not limited to:</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Text analysis and processing related to the humanities using computational methods</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Usage of the interpretability of large language models’ output for DH-related tasks</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Dataset creation and curation for NLP (e.g. digitisation, datafication, and data preservation</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Automatic error detection, correction, and normalisation of textual data</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">based applications for Digital Humanities</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Generation and analysis of literary works such as poetry and novels</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Analysis and detection of text genres</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Emotion analysis for the humanities and literature</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Modelling of information and knowledge in the Humanities, Social Sciences, and Cultural Heritage</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Low-resource and historical language processing</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Search for scientific and/or scholarly literature</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Profiling and authorship attribution</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Submission & Publication</b></span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their
significance, originality, technical content, style, clarity, and relevance to the workshop. We welcome the following types of contributions:</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Standard research papers (up to 8 pages, plus additional pages for references if needed)</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Short research papers (from 4 to 6 pages, plus additional pages for references if needed)</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Submissions must follow the</b> </span><span style="font-family: Arial, sans-serif; color: rgb(0, 136, 204);"><b><u><a href="https://ranlp.org/ranlp2025/index.php/submissions/" id="OWAed4fba49-b549-37e0-a0b8-cd15c3425b3d" class="OWAAutoLink" originalsrc="https://ranlp.org/ranlp2025/index.php/submissions/" data-auth="NotApplicable" style="color: rgb(0, 136, 204); margin-top: 0px; margin-bottom: 0px;">RANLP
2025 submission guidelines</a></u></b></span><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>, using ACL-style templates (LaTeX or MS Word).</b></span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Important Dates</b></span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Paper submission deadline: 6 July 2025</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Notification of acceptance: 31 July 2025</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Camera-ready paper: 20 August 2025</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Workshop date: 11-13 September 2025</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Organising Committee</b></span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Isuri Anuradha, Lancaster University, UK</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Francesca Frontini, CNR-ILC, Italy & CLARIN</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Paul Rayson, Lancaster University, UK</span></p>
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</span><span style="font-family: Arial, sans-serif; font-size: 12pt; color: rgb(34, 34, 34);">Ruslan Mitkov, Lancaster University, UK</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Programme Committee</b><br>
To be confirmed</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);"><b>Contact Us</b></span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">This workshop has been organised with the generous support and coordination of
<b>CLARIN ERIC</b> .</span></p>
<p style="text-align: left; background-color: white;"><span style="font-family: Arial, sans-serif; color: rgb(34, 34, 34);">Email:
</span><span style="font-family: Arial, sans-serif; color: rgb(70, 120, 134);"><u><a href="mailto:dhranlp2@gmail.com" id="OWA1d460a34-7a7b-2945-f1e0-8349bdb93bee" class="OWAAutoLink" style="color: rgb(70, 120, 134); margin-top: 0px; margin-bottom: 0px;">dhranlp2@gmail.com</a></u></span></p>
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